install.packages('twitteR')
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("rtweet")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("dplyr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("tm")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("tidytext")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("plotly")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("wordcloud")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("wordcloud2")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("RColorBrewer")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("magrittr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("ggplot2")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("stringr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
library(twitteR)
library(rtweet)
##
## Attaching package: 'rtweet'
## The following object is masked from 'package:twitteR':
##
## lookup_statuses
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:twitteR':
##
## id, location
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(tm)
## Loading required package: NLP
library(plotly)
## Loading required package: ggplot2
##
## Attaching package: 'ggplot2'
## The following object is masked from 'package:NLP':
##
## annotate
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
library(tidytext)
library(wordcloud)
## Loading required package: RColorBrewer
library(wordcloud2)
library(RColorBrewer)
library(magrittr)
library(ggplot2)
library(stringr)
CONSUMER_SECRET <- "QIRfYugwmcPxAjR7Z05s1WJKDFMPE3pRiEtzsvFfkgFoFyIB8Z"
CONSUMER_KEY <- "MkIJjzJ0eqOgxPjlzA9tN86OB"
ACCESS_SECRET <- "KQmifcOdtw68DHwt0C2IRLKVbHvb43eJt2qcP9YNKhF5C"
ACCESS_TOKEN <- "1595764187086479361-gz2Gqb9wQcCQJriDGBBhO3AxalNMJi"
setup_twitter_oauth(consumer_key = CONSUMER_KEY,
consumer_secret = CONSUMER_SECRET,
access_token = ACCESS_TOKEN,
access_secret = ACCESS_SECRET)
## [1] "Using direct authentication"
trendTweets <- searchTwitter("BLACKPINK -filter:retweets",
n = 10000,
since = "2022-11-23",
until = "2022-11-30",
lang = "en",
retryOnRateLimit = 120)
## [1] "Rate limited .... blocking for a minute and retrying up to 119 times ..."
## [1] "Rate limited .... blocking for a minute and retrying up to 118 times ..."
## [1] "Rate limited .... blocking for a minute and retrying up to 117 times ..."
#Convert data into dataframe
trendTweetsDF <- twListToDF(trendTweets)
class(trendTweetsDF)
## [1] "data.frame"
names(trendTweetsDF)
## [1] "text" "favorited" "favoriteCount" "replyToSN"
## [5] "created" "truncated" "replyToSID" "id"
## [9] "replyToUID" "statusSource" "screenName" "retweetCount"
## [13] "isRetweet" "retweeted" "longitude" "latitude"
View(trendTweetsDF)
## Warning in View(trendTweetsDF): unable to open display
## Error in .External2(C_dataviewer, x, title): unable to start data viewer
head(trendTweetsDF)[1:5]
## text
## 1 @httpzkai Like " blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls " wh… https://t.co/9YBpblexvS
## 2 @YouTube Pink Venom by @BLACKPINK
## 3 Blackpink \U{01faf6} https://t.co/YPBQ2V51aw
## 4 Anyone selling #BLACKPINK for #London tomorrow or Dec 1?ðŸ˜âœ¨
## 5 @warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK
## 6 if anyone is going to day 2 blackpink london, wanna be moots/friends? #blackpinklondon #bornpinklondon
## favorited favoriteCount replyToSN created
## 1 FALSE 1 veryjoy00 2022-11-29 23:59:56
## 2 FALSE 1 YouTube 2022-11-29 23:59:56
## 3 FALSE 0 <NA> 2022-11-29 23:59:43
## 4 FALSE 0 <NA> 2022-11-29 23:59:40
## 5 FALSE 0 warteamblinks 2022-11-29 23:59:36
## 6 FALSE 0 <NA> 2022-11-29 23:59:35
head(trendTweetsDF$text)[1:5]
## [1] "@httpzkai Like \" blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls \" wh… https://t.co/9YBpblexvS"
## [2] "@YouTube Pink Venom by @BLACKPINK"
## [3] "Blackpink \U{01faf6} https://t.co/YPBQ2V51aw"
## [4] "Anyone selling #BLACKPINK for #London tomorrow or Dec 1?ðŸ˜âœ¨"
## [5] "@warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK"
save(trendTweetsDF,file = "trendingTweetsDF.Rdata")
load(file = "trendingTweetsDF.Rdata")
#Removes some (unicode?) values in text field
trendTweetsDF$text <- sapply(trendTweetsDF$text,function(x) iconv(x,to='UTF-8'))
load(file = "trendingTweetsDF.Rdata")
trendTweetsDF$text <- sapply(trendTweetsDF$text,function(x) iconv(enc2utf8(x), sub="byte"))
head(trendTweetsDF$text)
## [1] "@httpzkai Like \" blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls \" wh… https://t.co/9YBpblexvS"
## [2] "@YouTube Pink Venom by @BLACKPINK"
## [3] "Blackpink \U{01faf6} https://t.co/YPBQ2V51aw"
## [4] "Anyone selling #BLACKPINK for #London tomorrow or Dec 1?ðŸ˜âœ¨"
## [5] "@warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK"
## [6] "if anyone is going to day 2 blackpink london, wanna be moots/friends? #blackpinklondon #bornpinklondon"
#Subsetting using the dplyr()package
tweetsDF <- trendTweetsDF %>%
select(screenName,text,created,statusSource)
#saving file as Rdata
save(tweetsDF, file = "tweetsDF.Rdata")
#saving file as csv
write.csv(tweetsDF,file = "tweetsDF.csv")
#Grouping the date created
tweetsDF %>%
group_by(1) %>%
summarise(max = max(created), min = min(created))
## # A tibble: 1 × 3
## `1` max min
## <dbl> <dttm> <dttm>
## 1 1 2022-11-29 23:59:56 2022-11-29 11:35:37
#tweetsDF %<>%
tweetsDF %<>%
mutate(Created_At_Round = created%>%
round(units = 'hours') %>%
as.POSIXct())
tweetsDF %>% pull(created) %>% min()
## [1] "2022-11-29 11:35:37 UTC"
tweetsDF %>% pull(created) %>% max()
## [1] "2022-11-29 23:59:56 UTC"
#plot on tweets by time using the library(plotly) and ggplot()
plt <- tweetsDF %>%
dplyr::count(Created_At_Round) %>%
ggplot(mapping = aes(x = Created_At_Round, y = n)) +
theme_light() +
geom_line() +
xlab(label = 'Date') +
ylab(label = NULL) +
ggtitle(label = 'Number of Tweets per Hour')
plt %>% ggplotly()
#plotting time series graph using ts_plot() by rtweet package
ts_plot(tweetsDF, "hours") +
labs(x = NULL, y = NULL,
title = "Frequency of tweets with a #BLACKPINK hashtag",
subtitle = paste0(format(min(tweetsDF$created), "%d %B %Y"), " to ",
format(max(tweetsDF$created),"%d %B %Y")),
caption = "Data collected from Twitter's REST API via twitteR") +
theme_minimal()
#creating histogram
ggplot(data = tweetsDF, aes(x = created)) +
geom_histogram(aes(fill = ..count..)) +
theme(legend.position = "none") +
xlab("Time") + ylab("Number of tweets") +
scale_fill_gradient(low = "pink", high = "black")
## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Trend Analysis using the source
encodeSource <- function(x) {
if(grepl(">Twitter for iPhone</a>", x)){
"iphone"
}else if(grepl(">Twitter for iPad</a>", x)){
"ipad"
}else if(grepl(">Twitter for Android</a>", x)){
"android"
} else if(grepl(">Twitter Web Client</a>", x)){
"Web"
} else if(grepl(">Twitter for Windows Phone</a>", x)){
"windows phone"
}else if(grepl(">dlvr.it</a>", x)){
"dlvr.it"
}else if(grepl(">IFTTT</a>", x)){
"ifttt"
}else if(grepl(">Facebook</a>", x)){ #This looks unreliable...
"facebook"
}else {
"others"
}
}
tweetsDF$tweetSource = sapply(tweetsDF$statusSource,
encodeSource)
tweet_appSource <- tweetsDF %>%
select(tweetSource) %>%
group_by(tweetSource) %>%
summarize(count=n()) %>%
arrange(desc(count))
#plotting using geom_bar() - bar graph
ggplot(tweetsDF[tweetsDF$tweetSource != 'others',], aes(tweetSource, fill = tweetSource)) +
geom_bar() +
theme(legend.position="none",
axis.title.x = element_blank(),
axis.text.x = element_text(angle = 45, hjust = 1))+
ylab("Number of tweets") +
ggtitle("Tweets by Source")
dataDF <- data.frame(
category = tweet_appSource$tweetSource,
count = tweet_appSource$count
)
dataDF$fraction = dataDF$count / sum(dataDF$count)
dataDF$percentage = dataDF$count / sum(dataDF$count) * 100
dataDF$ymax = cumsum(dataDF$fraction)
dataDF$ymin = c(0, head(dataDF$ymax, n=-1))
dataDF$roundP = round(dataDF$percentage, digits = 2)
#plotting of category without values
ggplot(dataDF,aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3,
fill=category)) +
geom_rect() +
coord_polar(theta="y") +
xlim(c(2, 4)) +
theme_void() +
theme(legend.position = "right")
#plotting with values
Source <- paste(dataDF$category, dataDF$roundP, "%")
ggplot(dataDF, aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3, fill=Source)) +
geom_rect() +
coord_polar(theta="y") +
xlim(c(2, 4)) +
theme_void() +
theme(legend.position = "right")
#accounts which tweet about BLACKPINK
tweet_appScreen <- tweetsDF %>%
select(screenName) %>%
group_by(screenName) %>%
summarize(count=n()) %>%
arrange(desc(count))
#convert to Corpus
namesCorpus <- Corpus(VectorSource(tweetsDF$screenName))
#using ScreenName
class(tweetsDF$screenName)
## [1] "character"
pal <- brewer.pal(8, "Dark2")
pal <- pal[-(1:4)]
set.seed(123)
par(mar = c(0,0,0,0), mfrow = c(1,1))
#Uing wordcloud ()package
wordcloud(words = namesCorpus, scale=c(3,0.5),
max.words=500,
random.order=FALSE,
rot.per=0.5,
use.r.layout=TRUE,
colors=pal)
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#Using wordcloud2() package
wordcloud2(data=tweet_appScreen,
size=0.8,
color='random-dark',
shape = 'pentagon')
#Using wordcloud2() package
wordcloud2(data=tweet_appScreen,
size=0.8,
color = "random-light",
backgroundColor = "grey")